Robert J. Carroll

Orcid: 0000-0003-3802-8183

According to our database1, Robert J. Carroll authored at least 37 papers between 2012 and 2024.

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Bibliography

2024
Developing and evaluating pediatric phecodes (Peds-Phecodes) for high-throughput phenotyping using electronic health records.
J. Am. Medical Informatics Assoc., January, 2024

2023
Next-generation phenotyping: introducing phecodeX for enhanced discovery research in medical phenomics.
Bioinform., October, 2023

Managing re-identification risks while providing access to the <i>All of Us</i> research program.
J. Am. Medical Informatics Assoc., April, 2023

Characterizing variability of electronic health record-driven phenotype definitions.
J. Am. Medical Informatics Assoc., February, 2023

2022
The <i>All of Us</i> Research Program: Data quality, utility, and diversity.
Patterns, 2022

Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions.
BMC Medical Informatics Decis. Mak., 2022

Comparing medical history data derived from electronic health records and survey answers in the <i>All of Us</i> Research Program.
J. Am. Medical Informatics Assoc., 2022

Inference-based correction of multi-site height and weight measurement data in the <i>All of Us</i> research program.
J. Am. Medical Informatics Assoc., 2022

Harmonizing FHIR and Common Data Models Used in Research: Current State and a Path Forward.
Proceedings of the AMIA 2022, 2022

Assessing Data Quality and Diversity in the All of Us.
Proceedings of the AMIA 2022, 2022

Self-paced Training Modality to Promote the Use of All of Us Researcher Workbench in Educational and Research Settings.
Proceedings of the AMIA 2022, 2022

2021
Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies.
npj Digit. Medicine, 2021

Comparison of family health history in surveys vs electronic health record data mapped to the observational medical outcomes partnership data model in the All of Us Research Program.
J. Am. Medical Informatics Assoc., 2021

Measuring the correctness of All of Us physical measurement.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
The All of Us Research Program Researcher Workbench: Cloud based access and analytics to advance precision medicine.
Proceedings of the AMIA 2020, 2020

The All of Us Research Program Researcher Workbench Phenotype Library: Five Disease Implementations.
Proceedings of the AMIA 2020, 2020

Curating Data and Communicating Quality for Impact in a FAIR World.
Proceedings of the AMIA 2020, 2020

2019
Automated grouping of medical codes via multiview banded spectral clustering.
J. Biomed. Informatics, 2019

Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network.
J. Biomed. Informatics, 2019

Facilitating phenotype transfer using a common data model.
J. Biomed. Informatics, 2019

Curating EHR data in the All of Us Research Program.
Proceedings of the AMIA 2019, 2019

2018
A case study evaluating the portability of an executable computable phenotype algorithm across multiple institutions and electronic health record environments.
J. Am. Medical Informatics Assoc., 2018

Uncovering exposures responsible for birth season - disease effects: a global study.
J. Am. Medical Informatics Assoc., 2018

Evaluating statistical approaches to leverage large clinical datasets for uncovering therapeutic and adverse medication effects.
Bioinform., 2018

2017
Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals.
J. Am. Medical Informatics Assoc., 2017

Association of BMI and Obesity Genetic Risk Score with Surgical Procedures Through a Procedure-wide Association Study.
Proceedings of the AMIA 2017, 2017

Sub-Phenotyping of Crohn's Disease Using a Large Electronic Record Cohort.
Proceedings of the AMIA 2017, 2017

HealthPro: An integrated web application for essential health data and biological specimen collection in the Precision Medicine Initiative.
Proceedings of the AMIA 2017, 2017

The Data and Research Center of the All of Us Research Program: Framework for a National Cohort Program and Research Opportunities.
Proceedings of the AMIA 2017, 2017

2015

2014
R PheWAS: data analysis and plotting tools for phenome-wide association studies in the R environment.
Bioinform., 2014

Phenome-Wide Association Studies Using NLP-Derived Concepts.
Proceedings of the AMIA 2014, 2014

PheWAS and Genetics Define Subphenotypes in Drug Response.
Proceedings of the AMIA 2014, 2014

2013
Using PheWAS and Natural Language Processing to Discover Clinical Associations for Congenital Chest Deformities.
Proceedings of the AMIA 2013, 2013

Open Source R Implementation of the PheWAS Methodology.
Proceedings of the AMIA 2013, 2013

2012
Portability of an algorithm to identify rheumatoid arthritis in electronic health records.
J. Am. Medical Informatics Assoc., 2012

Using PheWAS to Assess Pleiotropy of Genetic Risk Scores for Rheumatoid Arthritis and Coronary Artery Disease in the eMERGE Network.
Proceedings of the AMIA 2012, 2012


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